Rheinfels T, Gaukler M, Ulbrich P (2023)
Publication Type: Other publication type
Publication year: 2023
Publisher: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik
Series: Dagstuhl Artifacts Series
City/Town: Dagstuhl, Germany
Book Volume: 9
Pages Range: 1:1-1:3
Journal Issue: 1
URI: https://drops.dagstuhl.de/opus/volltexte/2023/18022/
DOI: 10.4230/DARTS.9.1.1
Open Access Link: https://drops.dagstuhl.de/opus/volltexte/2023/18022/pdf/DARTS-9-1-1.pdf
The
increasing complexity of real-time control systems, comprising control
tasks interacting with physics and non-control tasks, comes with
substantial challenges: meeting various non-functional requirements
implies conflicting design goals and a pronounced gap between worst and
average-case resource requirements up to the overall timeliness being
unverifiable. Mixed-criticality systems (MCS) are a well-known
mitigation concept that operate the system in different criticality
levels with timing guarantees given only to the subset of critical
tasks. In many real-world applications, the criticality of control
applications is tied to the system’s physical state and control
deviation, with safety specifications becoming a crucial design
objective. Monitoring the physical state and adapting scheduling is
inaccessible to MCS but has been dedicated mainly to control engineering
approaches such as self-triggered (model-predictive) control. These,
however, are hard to schedule or expensive at run time.
This paper explores the potential of linking both worlds and elevating
the physical state to a criticality criterion. We, therefore, propose a
dedicated state estimation that can be leveraged as a run-time monitor
for criticality mode changes. For this purpose, we develop a highly
efficient one-dimensional state abstraction to be computed within the
operating system’s scheduling. Furthermore, we show how to limit
abstraction pessimism by feeding back state measurements robustly. The
paper focuses on the control fundamentals and outlines how to leverage
this new tool in adaptive scheduling. Our experimental results
substantiate the efficiency and applicability of our approach.
APA:
Rheinfels, T., Gaukler, M., & Ulbrich, P. (2023). A New Perspective on Criticality: Efficient State Abstraction and Run-Time Monitoring of Mixed-Criticality Real-Time Control Systems (Artifact). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik.
MLA:
Rheinfels, Tim, Maximilian Gaukler, and Peter Ulbrich. A New Perspective on Criticality: Efficient State Abstraction and Run-Time Monitoring of Mixed-Criticality Real-Time Control Systems (Artifact). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 2023.
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